Thane, Maharashtra, India
Information Technology
Full-Time
Simform
Overview
Key Responsibilities
- Lead the design, development, and implementation of enterprise-scale AI/ML solutions optimized for real-world applications.
- Collaborate with cross-functional teams to identify business requirements and translate them into robust AI/ML strategies.
- Develop and optimize generative AI solutions using tools and frameworks such as LangChain, LangSmith, LlamaIndex, MCP, Semantic Kernel, Autogen, and Agents.
- Utilize Python along with frameworks such as PyTorch and TensorFlow to build sophisticated machine learning models and algorithms.
- Conduct analysis of data and identify trends, providing actionable insights to stakeholders.
- Mentor and guide junior data scientists, promoting a culture of innovation and continuous learning within the team.
- Engage with clients to communicate project updates, understand their analytical needs, and deliver tailored AI solutions.
- Apply strong analytical skills to solve complex problems and improve existing models and algorithms.
- Minimum 5 years of experience in developing and implementing AI/ML-powered services and algorithms.
- Experience with deep learning models for structured/unstructured data.
- Proven track record of building enterprise-scale AI/ML solutions, demonstrating initiative and strategic thinking.
- Extensive hands-on experience with generative AI and large language models (LLMs).
- Proficiency in Python and a strong understanding of ML frameworks such as PyTorch and TensorFlow.
- Familiarity with cloud ML stacks, including Azure and AWS.
- Strong analytical and problem-solving skills with the ability to derive insights from complex datasets.
- Excellent communication skills with demonstrated ability to lead cross-functional teams effectively.
- Good understanding of ETL processes and working with data pipelines.
- Model evaluation and validation techniques (cross-validation, hyperparameter tuning).
- Time Series Analysis and Forecasting.
- Model deployment and monitoring (e.g., Docker, Kubernetes, MLflow, Airflow).
- Building reproducible pipelines for training and serving models.
- Experience in both team leadership and as an individual contributor.
- Young Team, Thriving Culture
- Flat-hierarchical, friendly, engineering-oriented, and growth-focused culture.
- Well-balanced learning and growth opportunities
- Free health insurance.
- Office facilities with a game zone, in-office kitchen with affordable lunch service, and free snacks.
- Sponsorship for certifications/events and library service.
- Flexible work timing, leaves for life events, WFH, and hybrid options
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