Role Overview
We are looking for a Senior AI / Machine Learning Engineer with strong hands-on experience in classical
machine learning, advanced algorithms, and Reinforcement Learning (RL). The ideal candidate should
have worked on real-world ML projects, understand time-series and signal processing concepts, and
have exposure to wavelet analysis.
This role involves building, optimizing, and deploying intelligent models for complex, data-driven
systems. You will work closely with product, data, and engineering teams to design scalable AI solutions.
Key Responsibilities
Machine Learning & Modeling
Design, train, and optimize machine learning models using supervised, unsupervised, and semi-
supervised techniques
Implement and tune algorithms such as:
Linear & Logistic Regression
Decision Trees, Random Forests
Gradient Boosting (XGBoost, LightGBM, CatBoost)
SVM, KNN, Naive Bayes
Clustering (K-Means, DBSCAN, Hierarchical)
Perform feature engineering, data preprocessing, and model evaluation
Reinforcement Learning (Mandatory)
Design and implement RL agents for sequential decision-making problems
Work with RL algorithms such as:
Q-Learning, SARSA
DQN, Double DQN
Policy Gradient, Actor-Critic
PPO, A2C/A3C (preferred)
Define reward functions, state spaces, and action policies
Optimize agents for stability, convergence, and real-world constraints
Wavelet & Signal Analysis
Apply wavelet analysis for time-series decomposition and feature extraction
Use wavelets to detect patterns, anomalies, trends, or regime changes
Integrate wavelet-based features into ML/RL pipelines
Data & Deployment
Work with large datasets and time-series data
Build end-to-end ML pipelines from data ingestion to deployment
Collaborate on model deployment using APIs or production systems
Monitor model performance and improve accuracy over time
Required Skills & Qualifications
5+ years of experience in Machine Learning / AI
Strong command over ML fundamentals and algorithms
Proven hands-on experience with Reinforcement Learning
Practical experience with wavelet analysis or signal processing
Proficiency in Python and ML libraries (NumPy, Pandas, Scikit-learn, etc.)
Experience working on real-world ML projects (not just academic)
Strong understanding of mathematics, statistics, and probability
Ability to write clean, optimized, and well-documented code
Good to Have
Experience with deep learning frameworks (TensorFlow / PyTorch)
Experience with time-series forecasting or financial data
Knowledge of model deployment, APIs, or production ML systems
Research-oriented mindset with problem-solving skills
Work on advanced AI & RL-driven systems
Exposure to real-world, high-impact ML use cases
Collaborative and growth-oriented work environment
Long-term career growth with leadership opportunities
#JobOpening #Hiring #JobSearch #NowHiring #CareerOpportunity #Employment #JobOpportunity #JobListing #JobPosting #JobAlert #recruitmentIf interested can forward your updated resumes on hr5@tasolutions.in and can directly contact us on 9041287949 also can provide our reference to your friends and colleagues.
Key Responsibilities
• Make 60–80 outbound calls daily to cold and warm leads provided by the company
• Identify customer needs and qualify leads
• Handle objections related to pricing, trust, and product understanding
• Convert interested leads into paid customers
• Maintain accurate call logs and follow-ups in CRM
Skills & Requirements
• Strong communication skills in Hindi (English preferred)
• Confidence in cold calling and objection handling
• Goal-oriented and target-driven mindset
• Basic understanding of sales and customer handling
• Prior telecalling or inside sales experience is a plus (not mandatory)
Salary & Incentives
• Incentives: Performance-based incentives
• Total Monthly Earnings: Up to ■40,000 upon target achievement
Performance Metrics (KPIs)
• Daily call volume
• Lead-to-conversion ratio
• Follow-up discipline
• Monthly revenue contribution
Working Details
• Working Days: 6 days a week
• Shift: Day shift
• Training: Complete product and sales training provided
Who Should Apply
• Candidates comfortable with sales targets
• Individuals seeking income growth through performance
• Motivated professionals ready to grow with a fast-scaling company.
#JobOpening #Hiring #JobSearch #NowHiring #CareerOpportunity #Employment #JobOpportunity #JobListing #JobPosting #JobAlert #recruitment
If interested can forward your updated resumes on hr5@tasolutions.in and can directly contact us on 9041287949 also can provide our reference to your friends and colleagues.
We are seeking an experienced TDP Senior Architect to support the Excise Tax E-TDP project. The role involves architecting and delivering SAP TDP solutions as part of an excise tax implementation program. The ideal candidate will have strong expertise in SAP TDP, excise tax processes, and global SAP project delivery.
