Responsible for promoting generic pharmaceutical products to healthcare professionals, chemist, pharmacies, stockist etc. and generating sales revenue. Key Responsibilities • Sales and Marketing : Develop and execute sales strategies to achieve sales targets and expand market share. Achieve Primary Sales and Secondary sales targets. • Product Knowledge : knowledge of generic pharmaceutical products. • Customer Relationships : Build and maintain strong relationships with Retailer, pharmacist & wholesale distributor. • Compliance: Ensure compliance with regulatory requirements, company policies, and industry standards. • Market Intelligence : Gather and analyze market data to inform sales strategies and stay competitive. # Requirements • Education : B Pharma, D Pharma Life Sciences, or a related field preferred. Minimum Graduate in any science subject. • Experience : Min 1yr of exp in pharmaceutical sales or a related field. • Skills : Excellent communication, interpersonal, and negotiation skills. • Knowledge : Strong knowledge of generic pharmaceutical products. Strong relationship with Chemist. • Language Skills:- Proficiency in English and local languages. Additional Information # What We Offer • Competitive Salary:- AS PER MARKET • Benefits: Comprehensive benefits package, including health insurance, retirement plan, and paid time off. • Career Development :- Opportunities for career growth and professional development. • Company Culture :- Collaborative and dynamic work environment. Required QualificationBachelor of Pharmacy (B.Pharm.
Senior Data Scientist – Hyderabad (Work from Office) Location: Hyderabad, India Experience: 4 – 8 years Work Mode: 5 Days Onsite (No Hybrid / Remote) Notice Period: Immediate to 30 Days About the Company client is a technology consulting firm helping enterprises leverage AI, data, and automation to drive digital transformation. We partner with global organizations to build intelligent, data-driven operations through advanced analytics, cloud engineering, and automation frameworks. Role Overview We are seeking a highly skilled Senior Data Scientist to join our digital transformation team. The ideal candidate will have strong expertise in AI/ML model development , customer data ingestion , real-time data pipelines , and predictive analytics . You will lead initiatives to enable data-driven decision-making, personalization, and marketing optimization at scale. Key Responsibilities Design, develop, and deploy machine learning models for customer segmentation, churn prediction, retention, and personalization. Contribute to advanced analytics projects such as Customer 360 and Revenue Management Systems . Validate and monitor models for accuracy, drift, and performance across large datasets. Collaborate with cross-functional teams (MarTech, Digital, Commercial) to integrate AI models into platforms and workflows. Establish model governance, retraining, and QA frameworks to maintain reliability. Develop dashboards, reports, and documentation for stakeholders. Mentor junior data scientists and contribute to model validation and continuous improvement. Required Qualifications Master’s degree in Data Science, Statistics, Computer Science, or related field . 4–8 years of experience in data science, machine learning, and model validation. Proficiency in Python , SQL , and ML frameworks such as scikit-learn, TensorFlow, PyTorch . Hands-on experience with Snowflake, Databricks, Spark, and cloud platforms (AWS/Azure/GCP) . Strong understanding of Churn Prediction, Predictive Analytics, and Customer 360 solutions. Experience in QA and drift monitoring frameworks for ML models. Excellent communication and stakeholder management skills. Prior team leadership or mentoring experience preferred. Why Join Us Work with cutting-edge AI/ML technologies and modern Azure-based data architecture. Collaborate with a dynamic and experienced team of data professionals. Opportunity for leadership growth and hands-on project ownership. Competitive compensation and a culture of continuous learning. Application Notes Only local Hyderabad candidates or immediate joiners (within 30 days) will be considered. Candidates from data-focused firms such as Tiger Analytics, Quantiphi, Fractal, or LatentView are preferred. If interested please share resume at nidhi.sharma@excellentopportunity.co.in
As an ASIC/FPGA Designer, you will work closely with Algorithm and Architecture teams to understand and translate high-level algorithmic requirements into efficient hardware implementations. You will learn and analyze relevant protocols and standards, interpreting protocol specifications such as Ethernet, and applying them accurately in design. Your responsibilities will include: - Participating in all design stages, including micro-architecture definition, RTL coding (using Verilog/SystemVerilog/VHDL), and synthesis-friendly coding with timing-aware design. - Collaborating cross-functionally with the verification team for testbench development, debug support, and functional coverage closure; with the DFT team to ensure design is scan-insertable and supports ATPG, BIST, etc.; and with the backend/physical design team for floorplanning, timing closure, and routing feedback. - Participating in design reviews to present and defend design decisions in peer and formal reviews. - Performing synthesis and timing analysis by generating synthesis constraints (SDC), running synthesis, and analyzing timing reports. - Debugging and fixing functional/timing issues through collaboration in post-silicon or pre-silicon debug using waveforms, assertions, and logic analyzers. - Optimizing for Area, Power, and Performance (PPA) by identifying bottlenecks and improvement opportunities within RTL. - Maintaining clear design documentation for reusability and reference, such as micro-architecture specs and interface docs. - Contributing to IP/SoC Integration by working on integrating design blocks into larger systems and handling system-level interfaces. - Keeping up-to-date with Industry Trends and Tools by learning new EDA tools, languages, and methodologies like CDC, Linting, and Formal Verification. Background in one or more of the following domains is an advantage: - Familiarity with advanced design practices such as Clock/Voltage domain crossing, Low Power Design, and DFT. - Designing DSP-oriented blocks. - Experience with Ethernet (100G and above). - Scripting experience using several of the following: Python, Perl, TCL. This position is on-site in Austin, TX, five days a week, and requires: - Over 5 years of experience as an ASIC/FPGA designer. - Strong Verilog/System-Verilog experience. - RTL coding proficiency in Verilog/SystemVerilog/VHDL. - Ability to understand high-level algorithmic requirements and translate them into efficient hardware implementations. - DFT knowledge to ensure designs support scan insertion, ATPG, BIST. - Familiarity with simulation tools/environments and verification methodologies.,
Job Title: Telecaller & Sales Representative Location: Mira Road (E), Thane Working Days: Monday to Saturday Working Hours: 10:00 AM – 7:00 PM About the Company: Client is a fast-growing organization dedicated to providing top-quality products and services to our valued customers. We believe in teamwork, innovation, and continuous growth, and we’re expanding our sales team to strengthen our customer reach and market presence. Job Summary: We are hiring Telecallers and Sales Representatives who are passionate about sales, customer service, and building relationships. The ideal candidates should have excellent communication skills, a persuasive attitude, and a strong desire to achieve sales targets. Key Responsibilities: For Telecaller: Make outbound calls to potential and existing customers. Explain products/services and generate interest or appointments. Handle customer queries and provide relevant information. Maintain call records and follow up with leads regularly. For Sales Representative: Identify potential clients and generate new business opportunities. Meet clients (if required) and promote company products/services. Negotiate and close sales deals. Maintain strong relationships with customers for repeat business. Achieve assigned sales targets and submit daily/weekly reports. Required Skills & Qualifications: Proven experience in telecalling, telesales, or direct sales preferred. Excellent communication and convincing skills. Ability to work under minimal supervision and achieve targets. Positive attitude, good listening skills, and customer-oriented approach. Graduates preferred; freshers with strong communication skills may also apply. Compensation: Salary: Fixed + Attractive Incentives (based on performance) How to Apply: Interested candidates can share their updated resumes at nidhi.sharma@excellentopportunity.co.in
Company Description Excellent Opportunity Placements is a leading Executive Search and Management Consulting organization that emphasizes the power of human resources. We focus on understanding clients' business needs and offer value-added services through communication, engagement, and efficient project management. Our commitment is to deliver the best recruitment services, ensuring investments in human and intellectual capital yield returns in any market condition. Role Description This is a full-time, on-site role for a Voice (Customer Service Associate) located in Mira Bhayandar. The Customer Service Associate will handle routine customer support tasks, ensure customer satisfaction, manage phone etiquette, and enhance the overall customer service experience. Daily tasks include responding to customer inquiries, resolving issues, and maintaining high-quality service standards. Qualifications Customer Support, Customer Service, and Customer Experience skills Customer Satisfaction and Phone Etiquette skills Excellent communication and interpersonal skills Ability to work effectively in a team setting Prior experience in a customer service role is a plus High school diploma or equivalent; further education or training in customer service is advantageous if interested please share resume at nidhi.sharma@excellentopportunity.co.in
Job Title: Academic Counselor Location: Noida (Sector 4, near Sector 16 Metro Station) Employment Type: Full-Time | Office-Based Industry: EdTech / Education Management Experience: 1 – 10 Years Joining: Within 7 Days About the Employer: A leading e-learning platform offering practical, psychology-based counseling programs and mental health training in India. The organization is led by certified professionals and recognized for its high-quality, career-oriented learning experiences. Role Overview: The Academic Counselor will play a pivotal role in guiding students and working professionals to select the most suitable learning programs aligned with their academic and career goals. The ideal candidate will be confident in a target-driven, sales-oriented environment. Key Responsibilities: Counsel prospective students, working professionals, and parents on relevant courses and programs. Conduct one-on-one (in-person or virtual) career guidance sessions. Follow up on leads via calls, emails, and WhatsApp to ensure maximum enrollments. Explain course details — structure, duration, benefits, and career outcomes. Stay updated on EdTech trends to offer accurate, personalized recommendations. Collaborate with internal sales and marketing teams to achieve monthly targets. Maintain and update student interactions using CRM systems. Ensure smooth onboarding and provide post-enrollment assistance to students. Required Qualifications & Skills: Education: Bachelor’s Degree (Psychology preferred) Experience: Minimum 6 months in academic counseling or EdTech sales (freshers with strong communication skills may also apply) Excellent verbal and written communication skills. Confident, persuasive, and target-oriented approach. Comfortable using CRM and online communication tools. Must own a personal laptop (arranged laptops not acceptable). Must be unmarried and available to relocate to Noida within 7 days. Additional Details: Work Mode: Office Only No. of Vacancies: 4 Notice Period: Immediate to 7 Days Placement Fee: 7% of offered CTC (paid within 90 days of joining)