The Role
Leads AI/ML teams while designing, developing, validating, and deploying production machine learning solutions. Responsibilities include Python development, end-to-end data science, LLM and RAG implementation, NLP or computer vision, API development, database management, debugging, optimization, and MLOps. The role requires collaboration across technical teams, Agile delivery, model evaluation, and adherence to security and privacy standards.
Summary Generated by Built In
Key Responsibilities
Technical Qualifications
Soft Skills
- Team Leadership: Lead, guide, and mentor a team of AI/ML engineers and data scientists, fostering a collaborative, innovative, and productive work environment.
- Clean Code & Development: Write clean, maintainable, and error-free Python code for developing robust machine learning systems.
- Model Engineering: Efficiently design, build, and deploy machine learning models and end-to-end solutions.
- Cross-Functional Collaboration: Work closely with diverse technical teams to ensure timely and efficient delivery of AI/ML projects.
- Data Science Lifecycle: Implement end-to-end data science processes, including data preprocessing, exploratory analysis, modeling, evaluation, and deployment.
- Database Management: Work proficiently with SQL and NoSQL databases to manage and retrieve data effectively.
- API Development: Develop and integrate RESTful APIs using Python web frameworks (e.g., Flask, Django).
- Debugging & Optimization: Diagnose issues and optimize existing code for performance improvements.
- Agile Methodologies: Follow Agile/Scrum software development lifecycle practices consistently.
- LLM & RAG Implementation: Design, develop, fine-tune, and deploy AI models focusing on Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).
- Model Validation & Evaluation: Conduct training, validation, and evaluation experiments, refining models based on statistical analysis and performance metrics.
- Security & Compliance: Ensure that AI/ML solutions adhere to security best practices and data privacy regulations (e.g., GDPR).
- Python Expertise: 3–5 years of hands-on experience with Python programming.
- ML/DL Experience: 3–5 years of experience building, training, and deploying Machine Learning and Deep Learning models.
- Deep Learning Frameworks: Proficiency with TensorFlow, PyTorch, and Keras.
- Web Frameworks: Solid experience with Python web frameworks (Flask, Django) for API development.
- Core Libraries: Strong expertise in NumPy, Pandas, Matplotlib, Scikit-learn, SpaCy, NLTK, and HuggingFace Transformers.
- Algorithms & Techniques: Deep understanding of ML/DL algorithms, with advanced techniques in NLP and/or Computer Vision.
- Production-Grade AI: Proven experience designing and deploying AI solutions leveraging LLMs and RAG.
- NLP & Conversational AI: Hands-on expertise in text representation, semantic extraction, sentiment analysis, and conversational AI.
- Concurrency: Practical knowledge of multithreading, concurrency, and asynchronous programming in Python.
- Database Proficiency: Advanced skills in SQL (PostgreSQL, MySQL, SQLite, MariaDB) and NoSQL (MongoDB) databases.
- Deployment & MLOps: Experience with containerization (Docker/Kubernetes), cloud platforms (AWS, Azure, GCP), and familiarity with MLOps principles for CI/CD, monitoring, and logging.
- Version Control: Proficient understanding of Git and Bitbucket for software version control.
- C++: Experience with C++ development is a plus.
- Analytical Thinking: Strong analytical and structured problem-solving capabilities.
- Proactive Problem-Solving: Logical reasoning and a hands-on approach to debugging and optimization.
- Team Collaboration: Effective interpersonal skills to work seamlessly with cross-functional teams.
- Clear Communication: Excellent ability to articulate technical concepts to diverse audiences.
- Continuous Learning: Commitment to staying current on emerging trends in AI/ML, NLP, and Computer Vision.
Skills Required
- 3–5 years of hands-on Python programming experience
- 3–5 years of experience building, training, and deploying machine learning and deep learning models
- Proficiency with TensorFlow, PyTorch, and Keras
- Experience with Flask and Django for API development
- Expertise with NumPy, Pandas, Matplotlib, Scikit-learn, SpaCy, NLTK, and Hugging Face Transformers
- Strong understanding of machine learning and deep learning algorithms
- Advanced experience with NLP and/or computer vision techniques
- Experience designing and deploying production-grade AI solutions using LLMs and RAG
- Hands-on expertise in text representation, semantic extraction, sentiment analysis, and conversational AI
- Knowledge of Python multithreading, concurrency, and asynchronous programming
- Advanced SQL database skills, including PostgreSQL, MySQL, SQLite, and MariaDB
- Advanced NoSQL database skills, including MongoDB
- Experience with Docker and Kubernetes
- Experience with AWS, Azure, or GCP
- Familiarity with MLOps, CI/CD, monitoring, and logging
- Proficiency with Git and Bitbucket
- Experience with C++ development
- Strong analytical and structured problem-solving capabilities
- Proactive debugging and optimization skills
- Effective collaboration with cross-functional technical teams
- Clear communication of technical concepts to diverse audiences
- Commitment to continuous learning in AI/ML, NLP, and computer vision
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The Company
What We Do
Your preferred partner for custom software development and technology outsourcing. Ecosmob Technologies Pvt. Ltd. is a world-renowned provider of carrier-grade software solutions and services. We strive to deliver innovative and client-centric solutions. We help our clients modernize their networks to improve competitive positioning and business outcomes. With our team of experts, cutting-edge technologies, and transparent processes, we focus on providing excellence while ensuring outstanding customer service. Ecosmob's core expertise lies in VoIP solutions, DevOps, web applications, mobile applications, and outsourced developer staffing services. Ecosmob's highly skilled team of developers has a consistent track record of delivering customized solutions within specified deadlines. Our market-leading expertise and solutions power many of the world's tier-one service providers and independent software vendors. Our solutions are deployed in the telecom, IT, healthcare, education, real estate, hospitality, banking & finance, advertising & entertainment industries across the globe
