Software QA Engineer I

We are seeking a highly skilled and motivated Senior Software Engineer (AI/ML) to design, develop, and deploy cutting-edge AI solutions across our organisation. The ideal candidate will possess strong expertise in machine learning, natural language processing (NLP), and generative AI, along with solid experience in software engineering principles. This role requires a hands-on technologist who can collaborate with cross-functional teams to build scalable, high-performance AI systems that deliver measurable business impact.

The core responsibilities for the job include the following:

Technical Leadership:

• Lead end-to-end development and deployment of AI/ML models and applications.
• Design scalable, maintainable AI architectures and data pipelines.
• Provide technical mentorship to junior engineers and peers across data science and software engineering teams.

Solution Design and Development:

• Collaborate with product managers, architects, and business stakeholders to identify and define AI-driven solutions.
• Develop, evaluate, and optimise model training strategies, evaluation metrics, and deployment methods.
• Stay current with emerging AI/ML technologies, frameworks, and tools (e. g., PyTorch, TensorFlow, Hugging Face, and LangChain drive their adoption where relevant.

Project Management:

• Translate business requirements into actionable technical deliverables with defined timelines and milestones.
• Ensure code quality, scalability, and performance in production environments.
• Identify potential risks, implement mitigation strategies, and ensure timely delivery of AI solutions.

Collaboration and Communication:

• Work closely with DevOps, MLOps, and Data Engineering teams for seamless model integration and deployment.
• Effectively communicate complex AI concepts to both technical and non-technical stakeholders.

Requirements:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 3+ years of overall software engineering experience, with a minimum of 3 years in AI/ML development.

Mandatory Technical Skills:

• Proficiency in Python and Generative AI frameworks.
• Strong understanding of Retrieval-Augmented Generation (RAG), PyTorch, Large Language Models (LLMs), and AWS.
• Hands-on experience with AI/ML tools and libraries such as TensorFlow, Hugging Face, and LangChain.

Proven experience in:

• Deep Learning Frameworks: TensorFlow, PyTorch.
• NLP Models: Transformers, BERT, LLMs (GPT, LLaMA, Claude, etc. ).
• ML Lifecycle Tools: MLflow, Kubeflow, Vertex AI, Azure ML.
• Model Deployment: REST APIs, Docker, Kubernetes, Serverless Architectures.
• Cloud Platforms: AWS / Azure.
• Vector Databases: FAISS, Qdrant, Pinecone, and semantic search implementations.
• Strong programming expertise in Python, with familiarity in SQL, Scala, or Java as required.

Preferred Qualifications:

• Experience with Generative AI, LLM fine-tuning, or RAG-based systems.
• Understanding of Responsible AI practices, including bias detection, model explainability, and governance.
• Contributions to open-source AI/ML projects or publications in recognised AI research forums.

We are seeking an experienced Data Scientist to join our data-driven team. As a Data Scientist, you will work with large datasets, apply advanced analytics techniques, and build machine learning models to provide actionable insights that drive business decisions. You will collaborate with various teams to translate complex data into clear recommendations and innovative solutions.

Key Responsibilities:

• Analyze large datasets to identify trends, patterns, and insights that can inform business strategy.
• Develop, implement, and maintain machine learning models and algorithms to solve complex problems.
• Work closely with stakeholders to understand business objectives and translate them into data science tasks.
• Preprocess, clean, and organize raw data from various sources for analysis.
• Conduct statistical analysis and build predictive models to support data-driven decision-making.
• Create data visualizations and reports to communicate findings clearly and effectively to both technical and non-technical teams.
• Design experiments and A/B testing to evaluate business initiatives.
• Ensure the scalability and performance of data pipelines and machine learning models.
• Collaborate with engineering teams to integrate data science solutions into production systems.
• Continuously stay updated with the latest developments in data science, machine learning, and analytics technologies.

• Job Title:- Project Engineer/Project Manager
• of days:- 5 days working hours.
• Timing:- 10 a.m to 6 p.m
• Notice Period:- 1 month
• Qualification:- B.E. ELECTRICAL (MOST PREFERABLE) OR B.E. MECHANICAL
• Experience:- MIN 2YEARS OF EXPERIENCE IN GROUND MOUNTED AND ROOFTOP OR MIN 5mw OF EXPERIENCE.

Job Description:-

• Having experience of solar project execution
• Site visit, material forecasting
• BOM preparation
• Solar plant drawing preparation
• Experience on AutoCAD for various drawing i.e. Plant layout, electrical SLD, earthing design, structure design planning.
• Project costing forecast, costing Estimation and cost evaluation of project as per market.
• Vendor management.
• Vendors follow-up.
• Vendors payment update and working follow-up.
• Readiness to visit any site and experienced enough to prepare the project planning.
• Responsible for on-site project issue.

Key Responsibilities:

1. Threat Research: Work on researching emerging cyber threats specifically. You will monitor threat actor activities, study their tactics, techniques, and procedures (TTPs), and help identify potential risks.

2. Alert Triage and Incident Analysis: Support the analysis of security alerts generated by our in-house platform. You will work alongside the team to identify critical issues and provide timely

intelligence to help mitigate threats.

3. Data Collection and OSINT: Assist in gathering and analyzing data using Open Source Intelligence (OSINT) methodologies. You will help collect relevant information to support ongoing threat investigations.

4. Report Preparation: Contribute to the preparation of threat intelligence reports for internal and external stakeholders. You will learn how to convey complex technical information in a clear and

actionable manner.

5. SOP Development: Collaborate with the team to develop and refine Standard Operating Procedures (SOPs) for systematic threat analysis. Your input will help ensure that our procedures are efficient and scalable.

6. Cross-functional Collaboration: Work closely with various teams, including product development and data acquisition, to support the integration of new intelligence sources and improve the effectiveness of our threat intelligence platform.

Key Qualifications:

Educational Background: Completed a degree in Cybersecurity, Computer Science, Information Technology, or a related field.

Basic Knowledge of Cybersecurity: A foundational understanding of cybersecurity concepts, including web application security, threat analysis, and vulnerability assessment.

Familiarity with OSINT: Basic knowledge of Open Source Intelligence (OSINT) tools and methodologies for data collection.

Technical Skills: Familiarity with scripting languages such as Python, Ruby, or GO is a plus.

Experience with automation and data analysis tools will be advantageous.

Communication Skills: Strong written and verbal communication skills, with the ability to learn how to convey technical findings effectively.

Problem-Solving and Adaptability: A proactive attitude with strong problem-solving skills. You should be comfortable learning in a fast-paced and dynamic environment.

Additional Skills:

Interest in Cybersecurity Challenges: Participation in bug bounty programs, Capture The Flag (CTF) challenges, or cybersecurity competitions is a plus.

Willingness to Learn: A keen interest in developing skills in threat intelligence, threat actor profiling, and behavioral analysis.

Qualification: MBA Marketing/ BBA/BBM or Equivalent Degree & Experience

Industry: Preferably User Experience (UX/UI), Digital Design, Software Development, IT Services, Advertising Agency or relevant domain

Primary Responsibilities

• Do market research, competitive analysis, Prospecting & client profiling.
• Data Mining: Finding & generating leads and converting them into the sale
• Manage end-to-end sales process, arrange and attend meetings and explore potential business opportunities.
• Strategically communicate, and circulate marketing & branding content
• Client relationship management & address their requirements on time to time basis
• Active involvement in project scoping, SLA compliance & timely invoice collection
• Handle company promotions & social media communications, PR & Press relationship
• Travel and attend networking events & client meetings.
• Training & nurturing peers

Skills Requirements

• Excellent Written & Verbal communication skills - English
• Extremely good at Client Presentation, Pitching & Negotiations
• Revenue Focused, Ability to meet financial goals
• Writing content on social media, blog, press etc.
• Time & Priority Management
• Knowledge of SEO, SMO and SEM is plus
• Familiar with IT terminology specifically in UI Design & Development Area.

Special Benefits

• Attractive incentives & timely recognition
• Collaborative & creative culture. A passionate team with diverse backgrounds & skills
• Exposure to various challenging opportunities & mentoring from seniors.
• Work with well respected & award-winning design studio

• Working knowledge of NodeJS, and JAVASCRIPT, is a must.
• Working knowledge of AWS cloud concepts is a must.
• Must be familiar with AWS serverless architecture.
• Must be familiar with data structure & algorithm concepts.
• Design, develop, and implement beautiful UI components to support business requirements.
• Follows approved life cycle methodologies, creates design documents, and performs program coding and testing.
• Resolves technical issues through debugging, research, and investigation.
• Own & Develop the REST APIs.
• Stay updated with new technologies and of changes in technologies that affect front-end web development.