Software Engineer I

Overview:

TekWissen is a global workforce management provider throughout India and many other countries in the world. The below client services offerings are used to create the Internet solutions that make networks possible providing easy access to information anywhere, at any time.

Job Title: Software Engineer I

Location: Bangalore

Duration: 12 Months

Work Type: Hybrid

Job Description

In this role, you will be instrumental in applying and advancing powerful AI technologies within products that deliver real business value. You'll craft the latest AI-powered user experiences across diverse platforms, working in sync with a dedicated generative AI product management team. This role offers the opportunity to acquire expertise in the most sought-after AI domains, positioning you at the forefront of the client AI strategies for the coming decade. In addition, you will engage in cross-team collaborations within the client, promoting a unified AI strategy throughout the company.

Your responsibilities will include:

• Design and develop end-to-end products to enable easy adoption of generative AI for enterprises.
• Design and build services and integrations for ML pipelines for LLM fine-tuning, prompt tuning and engineering, Benchmarking and RAG for various generative AI models.
• Stay up to date with the latest advancements in the field of AI and apply them to develop cutting- edge solutions.
• Collaborate with multi-functional teams including product managers, applied scientists, and other engineers and identify and implement the most effective system design and solutions

Experience in the areas of:

• Large Language Models (LLM): Understanding and application, including fine-tuning
• Agentic frameworks: Langchain, Langgraph, ReAct
• Chatbots and Conversational AI: Design and implementation using platforms like Dialogflow
• Machine Learning Algorithms: Supervised and unsupervised learning, reinforcement learning
• Deep Learning Frameworks: TensorFlow, PyTorch, Keras
• Natural Language Processing (NLP): NLTK, spaCy, Hugging Face Transformers
• Data Preprocessing and Feature Engineering: Data cleaning, transformation, feature selection
• Data Pipelines: Building and maintaining data workflows using tools like Apache Airflow, Luigi, MLFlow
• Deployment and Scaling: Using platforms like AWS SageMaker, Google AI Platform, Azure ML, K8s, Docker
• Data Visualization: Libraries like Matplotlib, Seaborn, Plotly
• Time Series Analysis: Forecasting, anomaly detection, and trend analysis
• Anomaly Detection: Techniques like Isolation Forest, One-Class SVM, Autoencoders

TekWissen Group is an equal opportunity employer supporting workforce diversity.